Literature DB >> 18799928

Longevity genes: insights from calorie restriction and genetic longevity models.

Isao Shimokawa1, Takuya Chiba, Haruyoshi Yamaza, Toshimitsu Komatsu.   

Abstract

In this review, we discuss the genes and the related signal pathways that regulate aging and longevity by reviewing recent findings of genetic longevity models in rodents in reference to findings with lower organisms. We also paid special attention to the genes and signals mediating the effects of calorie restriction (CR), a powerful intervention that slows the aging process and extends the lifespan in a range of organisms. An evolutionary view emphasizes the roles of nutrient-sensing and neuroendocrine adaptation to food shortage as the mechanisms underlying the effects of CR. Genetic and non-genetic interventions without CR suggest a role for single or combined hormonal signals that partly mediate the effect of CR. Longevity genes fall into two categories, genes relevant to nutrient-sensing systems and those associated with mitochondrial function or redox regulation. In mammals, disrupted or reduced growth hormone (GH)-insulin-like growth factor (IGF)-1 signaling robustly favors longevity. CR also suppresses the GH-IGF-1 axis, indicating the importance of this signal pathway. Surprisingly, there are very few longevity models to evaluate the enhanced anti-oxidative mechanism, while there is substantial evidence supporting the oxidative stress and damage theory of aging. Either increased or reduced mitochondrial function may extend the lifespan. The role of redox regulation and mitochondrial function in CR remains to be elucidated.

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Mesh:

Year:  2008        PMID: 18799928

Source DB:  PubMed          Journal:  Mol Cells        ISSN: 1016-8478            Impact factor:   5.034


  16 in total

Review 1.  Hormones and antioxidant systems: role of pituitary and pituitary-dependent axes.

Authors:  A Mancini; R Festa; V Di Donna; E Leone; G P Littarru; A Silvestrini; E Meucci; A Pontecorvi
Journal:  J Endocrinol Invest       Date:  2010-06       Impact factor: 4.256

Review 2.  A network perspective on metabolism and aging.

Authors:  Quinlyn A Soltow; Dean P Jones; Daniel E L Promislow
Journal:  Integr Comp Biol       Date:  2010-07-12       Impact factor: 3.326

3.  Biomarker Validation for Aging: Lessons from mtDNA Heteroplasmy Analyses in Early Cancer Detection.

Authors:  Peter E Barker; Mahadev Murthy
Journal:  Biomark Insights       Date:  2009-11-27

4.  Dietary restriction and aging in rodents: a current view on its molecular mechanisms.

Authors:  Isao Shimokawa; Lucas S Trindade
Journal:  Aging Dis       Date:  2010-09-29       Impact factor: 6.745

5.  Age- and sex-associated plasma proteomic changes in growth hormone receptor gene-disrupted mice.

Authors:  Juan Ding; Darlene E Berryman; Adam Jara; John J Kopchick
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-12-07       Impact factor: 6.053

6.  Benefits of Caloric Restriction in Longevity and Chemical-Induced Tumorigenesis Are Transmitted Independent of NQO1.

Authors:  Alberto Diaz-Ruiz; Andrea Di Francesco; Bethany A Carboneau; Sophia R Levan; Kevin J Pearson; Nathan L Price; Theresa M Ward; Michel Bernier; Rafael de Cabo; Evi M Mercken
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-01-16       Impact factor: 6.053

Review 7.  Mouse models of growth hormone action and aging: a proteomic perspective.

Authors:  Juan Ding; Lucila Sackmann-Sala; John J Kopchick
Journal:  Proteomics       Date:  2012-11-26       Impact factor: 3.984

8.  The effects of growth hormone (GH) treatment on GH and insulin/IGF-1 signaling in long-lived Ames dwarf mice.

Authors:  Michal M Masternak; Jacob A Panici; Feiya Wang; Zhihui Wang; Adam Spong
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-11-11       Impact factor: 6.053

Review 9.  Aging and dry eye disease.

Authors:  Juan Ding; David A Sullivan
Journal:  Exp Gerontol       Date:  2012-04-28       Impact factor: 4.032

Review 10.  Healthy clocks, healthy body, healthy mind.

Authors:  Akhilesh B Reddy; John S O'Neill
Journal:  Trends Cell Biol       Date:  2009-11-16       Impact factor: 20.808

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